You suspect that the spiciness of food served in a restaurant is positively correlated with number of soft drinks ordered. what would be your next steps to test your hypothesis?
a) plot all data together on a dot plot to assess if there is any visible correlation between the data sets.
b) observe several cases of people ordering food of varying spice-levels and number of soft drinks ordered.
c) pick two points on the dot plot and find a line of best fit.
d) find the correlation coefficient to see how well the line of best fit actually fits the data.

B is correct.

Step-by-step explanation:

Positive correlation is a relationship between two entities, where they are dependent on each other.  If one entity decreases, the other also decreases, or when one entity increases the other also increases.

Here, we can say that option B is correct.

Observe several cases of people ordering food of varying spice-levels and number of soft drinks ordered. We can say if the food is very spicy people tend to drink something with it. So, this is absolutely true. As the level of spice increases, the number of soft drinks ordered also increases.

We can put all the given options in step by step procedure.

B) Observe several cases of people ordering food of varying spice-levels and number of soft drinks ordered.

A) Plot all data together on a dot plot to assess if there is any visible correlation between the data sets.

C) Pick two points on the dot plot and find a line of best fit.

D) Find the correlation coefficient to see how well the line of best fit actually fits the data. 

the 3rd on is correct

step-by-step explanation:

hello, sorry being so rude after all that fighting i found it kind of funny, so as me saying sorry here is an answer!

since the table showed her that   2km = 2000m.

to determine, how many km in 2000m, she would divide by 1000.

= 2000 / 1000 = 2 km.

similarly, for 8000m = 8000 / 1000 = 8 km

cheers to savings

~

your pal papaguy